@article{64678, abstract = {{One of the major topics in the modern automotive industry is reducing emissions and increasing the mileage range. To tackle this challenge, on the one hand, modifying the powertrain system is a possibility, and on the other hand, lightweight design offers various possibilities. Multi-Material Design (MMD) involves designing car bodies that combine different materials that require joining. Given the variety of materials, mechanical joining processes are preferred. Especially the current development of the Giga/Mega-casting process concerning aluminium casting and the subsequent mechanical joining illustrates the challenges of this material group. In car production, aluminium castings are mainly made from aluminium-silicon (AlSi) alloys. Ultimately, the alloy system's insufficient ductility leads to crack initiation during mechanical joining. Cast parts are therefore often used in areas of the car body that are exposed to high-pressure loads. For example, self-piercing riveting (SPR) is used due to its high load-bearing capacity. In this study, improved joinability is demonstrated by influencing the microstructure through tailored solidification rates and a developed heat-treatment chain strategy adapted for hypoeutectic AlSi systems. Data on microstructure, mechanical, and joining properties are used to develop a solidification-joining correlation for the SPR process across a range of Si contents and solidification rates. The purpose is to develop the ability to produce suitable aluminium castings with sufficient joinability, thereby improving versatility.}}, author = {{Neuser, Moritz and Kaimann, Pia Katharina and Stratmann, Ina and Bobbert, Mathias and Klöckner, Johann Moritz Benedikt and Mann, Moritz and Hoyer, Kay-Peter and Meschut, Gerson and Schaper, Mirko}}, journal = {{Journal of Manufacturing Processes}}, keywords = {{Mechanical joining, Aluminium, Self-piercing riveting, Casting, Microstructure, Joinability AlSi-alloys}}, publisher = {{Elsevier}}, title = {{{Solidification-joinability correlation of hypoeutectic aluminium casting alloys for self-piercing riveting (SPR)}}}, doi = {{https://doi.org/10.1016/j.jmapro.2026.02.040}}, volume = {{164}}, year = {{2026}}, } @article{65311, abstract = {{Information Systems (IS) is rooted in systems theory. Systems theory offers powerful concepts to address challenges of growing system complexity and non-systemic design approaches in information systems. Despite its systemic origins, systems theory remains a peripheral topic in IS. The study addresses this gap by introducing a comprehensive framework of 52 systems-theoretical concepts to guide the design of complex IS artifacts. We synthesize scattered systems knowledge from diverse disciplines to provide a unified level of abstraction for complex information system design. We apply the framework to a use case of business reputation systems to show how the systems lens informs the design of a novel, complex information system. We make three key contributions to the literature. First, the framework provides a common ground for interdisciplinary research in information system design. Second, it offers a unified level of abstraction grounded in systems theory that serves as a coherent basis for artifact design. Third, it demonstrates the potential of systems theory as a foundational justificatory knowledge base. Furthermore, we provide guidance on applying the framework across multiple modes of reasoning, alongside further application guidelines. The study thus serves as a bridge between the body of systems knowledge and contextual design in IS.}}, author = {{Ibrahimli, Ulvi and Hemmrich, Simon and Winkelmann, Axel}}, journal = {{Communication of the Association for Information Systems}}, keywords = {{Information Systems Research, Systems Theory, System Complexity, System Design, Design Science}}, publisher = {{AIS}}, title = {{{Bridging Systems Theory and Information Systems: A Framework for Designing Complex Information Systems}}}, doi = {{https://aisel.aisnet.org/cais/vol58/iss1/37/}}, year = {{2026}}, } @inbook{65310, abstract = {{Trust between client and consultant is perhaps the most important asset in con-sulting, as this is a highly intangible knowledge-intensive business that concerns is-sues of outstanding strategic and operational importance for the customers. Cli-ents who have not worked with a particular consultancy face considerable risk when they place an order while lacking reliable information about the service quality they can expect. There is a strong link between trust and reputation, as the positive reputation of a consultancy can act as a substitute for a new client’s missing individual experience with the provider, fostering trust in the service quali-ty. Thus, creating, maintaining, and demonstrating a good reputation is of signifi-cant importance for consultancies in a very competitive industry. To facilitate trustworthy signals, we design and implement a novel reputation mechanism that carries a monetary weight stored on a blockchain network as an immutable, decentralized, and transparent ledger. Based on an implementation in the Ethereum network and subsequent evaluation, we conclude that the reputation mechanism can contribute to leveling information asymmetry and reducing risk while increasing reputation and trust. The mechanism lends itself to being used in other business-to-business scenarios that suffer from similar information asymmetries.}}, author = {{Hemmrich, Simon and Nissen, Volker}}, booktitle = {{ Advanced Studies in Consulting Research and Digitalization – A Scientific Update on the Digital Transformation of the Consulting Industry. Springer.}}, editor = {{Nissen, Volker}}, keywords = {{Reputation Systems, Consulting, Design Science Invention, Incentive, Blockchain, Monetary ratings, building trust, reduce information asymmetry consulting, B2B reputation system, consulting risk reduction, supplier evaluation system}}, title = {{{A blockchain-based reputation system for consulting}}}, year = {{2026}}, } @article{65476, abstract = {{Service research has evolved into an interdisciplinary research field that bridges diverse disciplines, including information systems (IS) and marketing. Nearly two decades ago, the service system concept was introduced as a foundational abstraction in service research, drawing on ideas from the service-dominant logic (S-D logic) of marketing. Despite its widespread adoption in service research, particularly in the IS discipline, the service system concept lacks a solid theoretical foundation. This has resulted in conceptual ambiguity and overlap with related constructs, such as service ecosystems. Moreover, it has largely remained a static analytical lens, insufficiently capturing dynamic service phenomena, including value co-creation and co-destruction, as well as the emergence of institutional arrangements. To address these limitations, we propose Luhmann’s systems theory (LST) as a robust framework for conceptualizing service systems as autopoietic (self-creating) systems, in which communication serves as the fundamental mechanism that drives value co-creation. We derive five theoretical propositions from this re-conceptualization that clarify conceptual ambiguity and allow researchers to explore dynamic service phenomena in greater depth. Given LST’s general approach, our conceptualization provides a theoretically grounded, interdisciplinary foundation for advancing service research.}}, author = {{Beverungen, Daniel and Poeppelbuss, Jens and Hemmrich, Simon and Iqbal, Taskeen}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, keywords = {{Service system, Service ecosystem, Systems theory, Service research}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Service through communication—Conceptualizing service systems with Luhmann’s systems theory}}}, doi = {{10.1007/s12525-026-00889-w}}, volume = {{36}}, year = {{2026}}, } @article{66001, abstract = {{Expanding renewable energy sources is essential for a sustainable energy supply but challenges grid stability, as the volatility of solar and wind causes periods of over- and undersupply. Private households are central to this transition, combining dynamic consumption with decentralised generation. This paper presents a multi-agent microgrid simulation built on the Mesa framework, focusing on the heterogeneous objectives and technological capabilities of residential participants. Households are modelled as autonomous agents with individual strategies, while a dedicated “grid agent” represents the distribution system operator and regulates the microgrid in a grid-supportive manner. The emission factor serves as the key indicator for grid-friendly behaviour. Results show that in summer, unmanaged PV feed-in from heterogeneous households causes substantial grid stress and balancing effort for the distribution system operator. Dynamic electricity prices can incentivise grid-friendly dispatch, but their effectiveness depends on the correlation between price signals and renewable availability and cannot guarantee grid-supportive behaviour alone. The grid agent reliably improves the grid-supportive coefficient, yet its operating strategy, for instance additional peak-reduction objectives, can interfere with price-based incentives. Effective demand-side management therefore requires careful analysis of stakeholder interactions. Building on this insight, thepaper provides a basic framework for the design, implementation, and assessment of both integrated and individual energy management strategies within a microgrid environment. By simulating the dynamic interactions among system participants and strategies, it enables comprehensive evaluation of their collective impact on the grid, supporting the development of robust solutions for future electricity networks.}}, author = {{Henne, Kevin and Rahlf, Henning Christoph and Naumann, Marius and Meschede, Henning}}, issn = {{2590-1745}}, journal = {{Energy Conversion and Management: X}}, keywords = {{Microgrid, Decentralised Energy Systems, Multi-Agent System, Residential Demand-Side Management, Optimisation}}, location = {{Dubrovnik}}, pages = {{102030}}, publisher = {{Elsevier}}, title = {{{Towards Stakeholder-Aware Demand-Side management assessment in heterogeneous residential Microgrids: A Multi-Agent approach}}}, doi = {{https://doi.org/10.1016/j.ecmx.2026.102030}}, volume = {{31}}, year = {{2026}}, } @inproceedings{58763, abstract = {{Utilizing data is crucial for economic success, but a lack of interoperability and concerns about the misuse of ones own data are hindering the cross-organizational use of data. Dataspaces provide the infrastructure necessary to integrate heterogeneous data sources within an organization or ecosystem, enabling seamless data interaction and interoperability. In addition, data spaces strengthen data sovereignty through their decentralized nature, which enables organizations to effectively control and manage their data. However, challenges persist in managing the complexity and dynamic nature of dataspaces, requiring significant resources and technical expertise. The decentralized nature leads to a large and diverse number of stakeholders, who need to agree on the use and scope of a dataspace. Modeling is a common approach to cope with technical complexity and heterogeneous stakeholders. In this paper, we propose a version of SysML and a corresponding method that focus on the modelling of data spaces. We provide a dataspace modelling method to unify the understanding of dataspaces and scope among all stakeholders to simplify the design and development process.}}, author = {{Kulkarni, Pranav Jayant and Zerbin, Julian and Koldewey, Christian and Bernijazov, Ruslan and Dumitrescu, Roman}}, booktitle = {{2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)}}, keywords = {{Dataspaces, Modelling, SysML, Gaia-X, System Specification}}, location = {{Sharjah, United Arab Emirates }}, publisher = {{IEEE}}, title = {{{Using SysML as a Modelling Language for Dataspaces}}}, doi = {{10.1109/ictmod63116.2024.10878227}}, year = {{2025}}, } @inproceedings{62725, abstract = {{Aluminium-Silizium-Legierungen (AlSi) werden insbesondere bei der gießtechnischen Herstellung von Leichtbaukomponenten für Fahrzeuge verwendet. Dieses Legierungssystem hat hervorragende Gießeigenschaften bei gleichzeitig akzeptablen mechanischen Eigenschaften. Aufgrund des hohen Silizium-(Si)-Gehaltes, wodurch die Volumenkontraktion im Phasenübergang von flüssig-fest nahezu unterbunden wird, neigen AlSi-Legierungen dazu, feinere oder gröbere Si-Platten bei unterschiedlichen Erstarrungsgeschwindigkeiten zu bilden. Um die mechanischen Eigenschaften zu verbessern, werden dem Legierungssystem in der Schmelzphase entweder Natrium (Na) oder Strontium (Sr) zugesetzt. Dies hat zur Folge, dass sich eine fein lamellare Si-Morphologie bei der Erstarrung ausbildet; dies kann ebenfalls durch hohe Erstarrungsgeschwindigkeiten erreicht werden. Ein nachfolgendes Lösungsglühen bewirkt eine Sphäroidisierung der Si-Partikel und dient der Steigerung der Duktilität. Aktuell fehlen fundierte Erkenntnisse zur Ausprägung der Si-Morphologie in Abhängigkeit der Erstarrungsgeschwindigkeit oder infolge einer Wärmebehandlung. Vor diesem Hintergrund werden in dieser Studie verschiedene Behandlungsparameter in Bezug auf das Einformverhalten der Si-Partikel mit einem bildauswertenden Verfahren evaluiert sowie unter Bezug auf verschiedene chemische Zusammensetzungen miteinander korreliert.}}, author = {{Neuser, Moritz and Cichon, Gerrit and Hoyer, Kay-Peter and Schaper, Mirko}}, booktitle = {{Bildauswertendes Verfahren zur Evaluierung der Mikrostruktur von AlSi-Systemen}}, isbn = {{978-3-88355-454-9}}, keywords = {{Bildauswertendes Verfahren, Mikrostrukturanalyse, AlSi-System, Si-Morphologie}}, location = {{Dresden}}, pages = {{454 -- 459}}, publisher = {{Deutsche Gesellschaft für Materialkunde (DGM)}}, title = {{{Bildauswertendes Verfahren zur Evaluierung der Mikrostruktur von AlSi-Systemen}}}, volume = {{43}}, year = {{2025}}, } @article{60050, abstract = {{Reputation systems to rate companies’ performances remain largely unexplored inresearch and are scarcely used in business-to-business (B2B) practice. Such systemsare essential for businesses seeking trustworthy partners, as they help reduce infor-mation asymmetry, lower buyers’ transaction risks, and allow high-quality serviceproviders to justify premium pricing. Unlike traditional review-based systems in thebusiness-to-consumer (B2C) context, we propose a B2B reputation mechanism inwhich buyers commit to a rating payment before a transaction. Once the buyer final-izes the rating, this payment is executed and recorded on a blockchain as an immu-table, secure ledger. Our system mimics natural trust-building mechanisms with rat-ings that are (1) monetary-based, (2) stake-based, (3) non-aggregated, (4) involvecounter-ratings, (5) selectively sellable, (6) individually comparable, (7) stored ona blockchain, (8) and monitored by a third instance. This system provides a novelapproach to fostering trust in B2B transactions by reducing information asymme-try and transaction risk. We illustrate the mechanism’s application in the consultingsector. Our analysis has identified 23 institutional trust and distrust dimensions thatpromote establishing institutional trust through the proposed mechanism. Qualita-tive interviews suggest that, while complex and challenging to apply, this mecha-nism can foster trust in B2B transactions. Given the low maturity in the applicationdomain—rating professional business services with business reputation systems—and solution domain—using monetary stakes for ratings, this system stands as apotential invention.}}, author = {{Hemmrich, Simon and Nissen, Volker and Beverungen, Daniel and Pauls, Josias Daniel Miño}}, journal = {{Information Systems and e-Business Management}}, keywords = {{Information asymmetry, Trust, Reputation system, Monetary rating, Blockchain, Consulting}}, number = {{1}}, publisher = {{Springer}}, title = {{{Blockchain‑based reputation systemsfor business‑to‑business services: designing a reputation mechanism to reduce information asymmetry in professional consulting}}}, doi = {{https://doi.org/10.1007/s10257-025-00702-9}}, volume = {{23}}, year = {{2025}}, } @phdthesis{65309, author = {{Hemmrich, Simon}}, keywords = {{Reputation Systems, Rating systems, monetary ratings, incentive mechanism, systems theory, Market coordination, advanced review system}}, pages = {{347}}, publisher = {{Universität Paderborn}}, title = {{{A Design Theory for Blockchain-Based Reputation Systems : Trust and Coordination in B2B Markets}}}, doi = {{https://doi.org/10.17619/UNIPB/1-2414}}, year = {{2025}}, } @article{53101, abstract = {{In this work, we consider optimal control problems for mechanical systems with fixed initial and free final state and a quadratic Lagrange term. Specifically, the dynamics is described by a second order ODE containing an affine control term. Classically, Pontryagin's maximum principle gives necessary optimality conditions for the optimal control problem. For smooth problems, alternatively, a variational approach based on an augmented objective can be followed. Here, we propose a new Lagrangian approach leading to equivalent necessary optimality conditions in the form of Euler-Lagrange equations. Thus, the differential geometric structure (similar to classical Lagrangian dynamics) can be exploited in the framework of optimal control problems. In particular, the formulation enables the symplectic discretisation of the optimal control problem via variational integrators in a straightforward way.}}, author = {{Leyendecker, Sigrid and Maslovskaya, Sofya and Ober-Blöbaum, Sina and Almagro, Rodrigo T. Sato Martín de and Szemenyei, Flóra Orsolya}}, issn = {{2158-2491}}, journal = {{Journal of Computational Dynamics}}, keywords = {{Optimal control problem, Lagrangian system, Hamiltonian system, Variations, Pontryagin's maximum principle.}}, pages = {{0--0}}, publisher = {{American Institute of Mathematical Sciences (AIMS)}}, title = {{{A new Lagrangian approach to control affine systems with a quadratic Lagrange term}}}, doi = {{10.3934/jcd.2024017}}, year = {{2024}}, } @unpublished{55159, abstract = {{We introduce a method based on Gaussian process regression to identify discrete variational principles from observed solutions of a field theory. The method is based on the data-based identification of a discrete Lagrangian density. It is a geometric machine learning technique in the sense that the variational structure of the true field theory is reflected in the data-driven model by design. We provide a rigorous convergence statement of the method. The proof circumvents challenges posed by the ambiguity of discrete Lagrangian densities in the inverse problem of variational calculus. Moreover, our method can be used to quantify model uncertainty in the equations of motions and any linear observable of the discrete field theory. This is illustrated on the example of the discrete wave equation and Schrödinger equation. The article constitutes an extension of our previous article arXiv:2404.19626 for the data-driven identification of (discrete) Lagrangians for variational dynamics from an ode setting to the setting of discrete pdes.}}, author = {{Offen, Christian}}, keywords = {{System identification, inverse problem of variational calculus, Gaussian process, Lagrangian learning, physics informed machine learning, geometry aware learning}}, pages = {{28}}, title = {{{Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification}}}, year = {{2024}}, } @phdthesis{54552, abstract = {{Die vorliegende Dissertation beschreibt das Konzept und den Entwicklungsprozess eines Lichtsignalanlagenregelungssystems bis zur Realumsetzung. Das Regelungssystem, welches im Rahmen des Pilotprojekts Schlosskreuzung entstanden ist, besteht dabei aus zwei untereinander abgestimmten Methoden zur Echtzeit-Verkehrsrekonstruktion und zur modellprädiktiven Regelung des Verkehrssystems anhand der vorhandenen Lichtsignalanlagen. Die Echtzeit-Verkehrsrekonstruktion approximiert dabei simulationsbasiert den aktuellen Verkehrszustand anhand gegebener Messdaten über dynamische Verkehrszuweisungen. Die entwickelte mehrstufige Lichtsignalanlagenregelung nutzt ein Fuzzy-System zur Phasenvorauswahl, um anschließend über eine modellprädiktive Regelung das nichtlineare Problem mit dem Ergebnis der optimalen Kombinationen von Phasen und Schaltzeitpunkten zu lösen. Das Regelungssystem wird in dieser Arbeit anhand eines ausgewählten Verkehrsgebiets zunächst rein simulativ getestet und mit dem vorliegenden Bestandsverfahren verglichen. Im Anschluss an die prototypische Inbetriebnahme wird dieser Vergleich durch die Feldtests abgeschlossen. Entsprechende Ergebnisse zeigen das große Potential der Entwicklung hinsichtlich der Reduktion von Kriterien wie Emissionen oder Wartezeiten und gleichzeitig den Handlungsbedarf für eine standardmäßige Nutzung.}}, author = {{Malena, Kevin}}, isbn = {{978-3-947647-41-5}}, keywords = {{Traffic Light System Control, Model Predictive Control}}, pages = {{207}}, publisher = {{Heinz Nixdorf Institut, Universität Paderborn}}, title = {{{Konzipierung, Analyse und Realumsetzung eines mehrstufigen modellprädiktiven Lichtsignalanlagenregelungssystems}}}, doi = {{10.17619/UNIPB/1-2021}}, volume = {{422}}, year = {{2024}}, } @inproceedings{57300, abstract = {{Engineering methodologies for Cyber-Physical Systems (CPS) call for planning simulations and physical testing in early phases of product creation. Even in Model-Based Systems Engineering, there is a lack of systematic support that results in avoidable costs and iterations in the engineering process. Planning test cases and test scenarios along the product engineering process is not sufficiently integrated in terms of support especially for verification and validation engineers. Based on a systematic literature review, concepts for model-based planning of testing are developed. Characteristics of test cases and test scenarios of CPS are systematically identified. Generic templates for the creation of test cases and scenarios are derived. Based on the templates, a System Modeling Language (SysML) profile extension is developed which enables intuitive modelling of test cases and scenarios. The SysML profile is evaluated in a sample System-of-Systems in Disaster Response. It subsumes various types of sensor systems like rescue robotics, data science algorithms and visualization technologies like Augmented Reality to support decisions in extreme weather events. The templates and SysML profile significantly add value for engineers in the early and systematic planning of verification and validation.}}, author = {{Gräßler, Iris and Ebel, Marcel and Pottebaum, Jens}}, booktitle = {{2024 IEEE International Symposium on Systems Engineering (ISSE)}}, keywords = {{Systems Engineering, Systems verification, System testing}}, location = {{Perugia}}, publisher = {{IEEE}}, title = {{{Model-based planning of test cases and test scenarios to support engineering of Cyber-Physical Systems}}}, doi = {{10.1109/isse63315.2024.10741135}}, year = {{2024}}, } @inproceedings{56636, abstract = {{Abstract. Business reputation ecosystems are a widely untapped research field. In these ecosystems, agents can selectively exchange (monetary) ratings to in-form about the experienced quality in a market. We build a model for conducting a multi-agent simulation that can be used to simulate and evaluate business rep-utation ecosystems as a new system class. We explore the factual occurring vol-untary payment to create positive (pay) or negative ratings (no pay), selling rat-ings selectively to alleviate information asymmetry, and the workings of counter-ratings to prevent buyers' dishonest ratings. Thereby, we analyze, among others, agent profitability, the occurrence of dishonest ratings, and reputation bias and sensitivity. The results provide simulation-based empirical evidence that the con-cept of monetary reputation systems provides necessary incentives for participa-tion, and high-quality sellers and honest buyers benefit from such a system. The results indicate that counter-ratings prompt buyers}}, author = {{Ibrahimli, Ulvi and Hemmrich, Simon and Zauke, Simon and Winkelmann, Axel}}, booktitle = {{19. Internationale Tagung Wirtschaftsinformatik (WI24)}}, keywords = {{Reputation System, Payment as Rating, Multi-Agent Simulation, Lemon Markets}}, location = {{Würzburg}}, title = {{{Overcoming Lemon Markets with Business Reputation Ecosystem – A Multi-agent Simulation on Monetary Ratings}}}, year = {{2024}}, } @article{35657, abstract = {{The controlled delivery of active pharmaceutical ingredients to the site of disease represents a major challenge in drug therapy. Particularly when drugs have to be transported across biological barriers, suitable drug delivery systems are of importance. In recent years responsive delivery systems have been developed which enable a controlled drug release depending on internal or external stimuli such as changes in pH, redox environment or light and temperature. In some studies delivery systems with reactivity against two different stimuli were established either to enhance the response by synergies of the stimuli or to broaden the window of possible trigger events. In the present review numerous exciting developments of pH-, light- and redox-cleavable polymers suitable for the preparation of smart delivery systems are described. The review discusses the different stimuli that can be used for a controlled drug release of polymer-based delivery systems. It puts a focus on the different polymers described for the preparation of stimuli-sensitive systems, their preparation techniques as well as their stimuli-responsive degradation. © 2022 The Authors. Polymer International published by John Wiley & Sons Ltd on behalf of Society of Industrial Chemistry.}}, author = {{Rust, Tarik and Jung, Dimitri and Langer, Klaus and Kuckling, Dirk}}, issn = {{0959-8103}}, journal = {{Polymer International}}, keywords = {{drug delivery system, stimuli, polymer, cleavable}}, number = {{1}}, pages = {{5--19}}, publisher = {{Wiley}}, title = {{{Stimuli‐accelerated polymeric drug delivery systems}}}, doi = {{10.1002/pi.6474}}, volume = {{72}}, year = {{2023}}, } @inproceedings{49785, abstract = {{Reputation is indispensable for online business since it supports customers in their buying decisions and allows sellers to justify premium prices. While IS research has investigated reputation systems mainly as review systems on online platforms for business-to-consumer (B2C) transactions, no proper solutions have been developed for business-to-business (B2B) transactions yet. We use blockchain technology to propose a new class of reputation systems that apply ratings as voluntary bonus payments: Before a transaction is performed, customers commit to pay a bonus that is granted if a service provider has performed a service properly. As opposed to rival reputation systems that build on cumulated ratings or reviews, our system enables monetized reputation mechanisms that are inextricably linked with online transactions. We expect this system class to provide more trustworthy ratings, which might reduce agency costs and serve quality providers to establish a reputation towards new customers, building on second-order trust.}}, author = {{Hemmrich, Simon}}, booktitle = {{Proceedings of 31st European Conference on Information Systems (ECIS 2023)}}, keywords = {{Trust, Risk, Reputation System, Blockchain Technology, Business Reputation System.}}, location = {{Kristiansand}}, title = {{{Business Reputation Systems based on Blockchain Technology—A Risky Advance}}}, year = {{2023}}, } @inproceedings{42163, abstract = {{The article shows how to learn models of dynamical systems from data which are governed by an unknown variational PDE. Rather than employing reduction techniques, we learn a discrete field theory governed by a discrete Lagrangian density $L_d$ that is modelled as a neural network. Careful regularisation of the loss function for training $L_d$ is necessary to obtain a field theory that is suitable for numerical computations: we derive a regularisation term which optimises the solvability of the discrete Euler--Lagrange equations. Secondly, we develop a method to find solutions to machine learned discrete field theories which constitute travelling waves of the underlying continuous PDE.}}, author = {{Offen, Christian and Ober-Blöbaum, Sina}}, booktitle = {{Geometric Science of Information}}, editor = {{Nielsen, F and Barbaresco, F}}, keywords = {{System identification, discrete Lagrangians, travelling waves}}, location = {{Saint-Malo, Palais du Grand Large, France}}, pages = {{569--579}}, publisher = {{Springer, Cham.}}, title = {{{Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves}}}, doi = {{10.1007/978-3-031-38271-0_57}}, volume = {{14071}}, year = {{2023}}, } @article{43464, abstract = {{Lightweight design is a common approach to reduce energy demand in the use stage of vehicles. The production of lightweight materials is usually associated with an increase in energy demand, so the environmental impacts of lightweight structures need to be assessed holistically using a life cycle assessment. To estimate the life cycle environmental impacts of a product in its developmental stage, for example, by life cycle engineering, future changes in relevant influencing factors must be considered. Prospective life cycle assessment provides methods for integrating future scenarios into life cycle assessment studies. However, approaches for integrating prospective life cycle assessment into product development are limited. The objective of this work is to provide the methodological foundation for integrating future scenarios of relevant influencing factors in the development of lightweight structures. The applicability of the novel methodology is demonstrated by a case study of a structural component in a steel, aluminium, and hybrid design. The results show that appropriate decarbonisation measures can reduce the life cycle greenhouse gas emissions by up to 95 percent until 2050. We also found that shifts in the environmentally optimal design are possible in future scenarios. Therefore, the methodology and data provided contribute to improved decision-making in product development.}}, author = {{Ostermann, Moritz and Grenz, Julian and Triebus, Marcel and Cerdas, Felipe and Marten, Thorsten and Tröster, Thomas and Herrmann, Christoph}}, issn = {{1996-1073}}, journal = {{Energies}}, keywords = {{Life Cycle Engineering, Life Cycle Assessment, Lightweight Design, Prospective LCA, Future-oriented LCA, Energy System, Material production, Sustainable production}}, number = {{8}}, publisher = {{MDPI AG}}, title = {{{Integrating Prospective Scenarios in Life Cycle Engineering: Case Study of Lightweight Structures}}}, doi = {{10.3390/en16083371}}, volume = {{16}}, year = {{2023}}, } @article{46765, abstract = {{Über zwei Drittel der Anfänger*innen im Übergangssystem verfügen maximal über einen Hauptschul-/Mittelschulabschluss. Sie sind damit überrepräsentiert, was sich weniger durch ihre Kompetenzen als mit ihrem sozioökonomischen Status und klassenspezifischen Nachqualifizierungsverhalten erklären lässt.}}, author = {{Sommer, Christian}}, issn = {{00059536}}, journal = {{Berufsbildung. Zeitschrift für Theorie-Praxis-Dialog}}, keywords = {{Social inequality, Transition system}}, pages = {{9--13}}, publisher = {{wbv}}, title = {{{Der Hauptschulabschluss als sozial selektiver Hauptzulieferer des Übergangssystems}}}, doi = {{10.3278/BB2303W}}, volume = {{199}}, year = {{2023}}, } @inproceedings{34140, abstract = {{In this paper, machine learning techniques will be used to classify different PCB layouts given their electromagnetic frequency spectra. These spectra result from a simulated near-field measurement of electric field strengths at different locations. Measured values consist of real and imaginary parts (amplitude and phase) in X, Y and Z directions. Training data was obtained in the time domain by varying transmission line geometries (size, distance and signaling). It was then transformed into the frequency domain and used as deep neural network input. Principal component analysis was applied to reduce the sample dimension. The results show that classifying different designs is possible with high accuracy based on synthetic data. Future work comprises measurements of real, custom-made PCB with varying parameters to adapt the simulation model and also test the neural network. Finally, the trained model could be used to give hints about the error’s cause when overshooting EMC limits.}}, author = {{Maalouly, Jad and Hemker, Dennis and Hedayat, Christian and Rückert, Christian and Kaufmann, Ivan and Olbrich, Marcel and Lange, Sven and Mathis, Harald}}, booktitle = {{2022 Kleinheubach Conference}}, keywords = {{emc, pcb, electronic system development, machine learning, neural network}}, location = {{Miltenberg, Germany}}, publisher = {{IEEE}}, title = {{{AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development}}}, year = {{2022}}, }